Jayanth Shanmugam
Data Engineer | Building Scalable ETL Pipelines & Cloud Data Solutions | Python, SQL, Airflow, BigQuery, Google Cloud Platform (GCP)
- Role
- Data Engineer at The Home Depot
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Jayanth Shanmugam
Jayanth Shanmugam is a Data Engineer and Generative AI specialist pursuing a Master’s in Computer Science at the University at Buffalo. He is passionate about designing scalable data pipelines, automating ETL workflows, and leveraging AI-driven systems to enable faster, data-informed decisions at enterprise scale.At Tesla, Jayanth developed and optimized Airflow-based ETL pipelines, reducing runtime from 2 hours to 45 minutes, and built a text-to-SQL Generative AI agent that accelerated root cause analysis by 30%. Previously at Adani Wilmar, he engineered data migration pipelines on Google Cloud (GCP, BigQuery) that achieved 99% data integrity and automated ML workloads, reducing maintenance efforts by 70%.His technical expertise spans Python, SQL, Apache Airflow, Google Cloud Platform, BigQuery, MySQL, PostgreSQL, Power BI, Streamlit, and Docker. Jayanth consistently applies these tools to develop high-performance, cloud-based data architectures and AI-integrated analytics platforms.He is currently seeking full-time Data Engineer roles where he can contribute to building robust, efficient, and intelligent data ecosystems that drive business impact.
Experience
Data Engineer
Feb 2026 — Present
Education
Manipal Institute of Technology
Bachelor of Technology - BTech, Computer Science
2019 — 2023
University at Buffalo
Master of Science - MS, Computer Science
2024 — 2026
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